I take a deep dive into the world of generative art and discover that the writing is well and truly on the wall for stock photo agencies and the porn industry’s going to have to adapt too!
ChatGPT Voice Just KILLED Traditional Language Learning
ChatGPT is changing language learning…now with voice. Let’s explore how to speak to artificial intelligence and how it affects language education, doing away with language classes and traditional study methods. It’s NOT perfect by any means, but it’s a great start, and it will only get better over time.
We can cure almost all human diseases. Here’s how. | Albert-László Barabási
The Human Genome Project was a major breakthrough in medicine, but according to network scientist Albert-László Barabási, simply having a list of genes is not enough to fully understand how they interact, and crucially, how our bodies work. Barabási believes network science — which studies complex patterns and interactions between our cells — can fill in this gap by creating a biological map from which we could develop new cures, and even predict diseases.
He explains that disease genes often have mutations that result in a missing interaction within the sub-cellular network, which then causes problems in the functioning of a cell. Traditional medicinal interventions can lead to unwanted side effects, as they also affect other cellular processes in the network; network medicine has revealed that these complex systems, though robust, are also fragile to attacks, and removing a few major hubs can break the network into tiny pieces.
Understanding the structure of the network within our cells can allow for precise interventions that cure the problem without causing other issues. For Barabási, the ideal future of medicine would involve individualized network diagrams being adopted as a standard tool for doctors to show patients where mutations are, how they impact the rest of the cell, and how interventions can stop their effects.
Will AI Bankrupt Your WordPress Business?
In today’s rapidly changing world, technology is constantly disrupting different industries, and the world of WordPress is no exception. With the rise of artificial intelligence (AI), there are concerns about its potential impact on the WordPress ecosystem, from end-users to freelancers, agencies, plugin developers, and theme developers.
To gain a better understanding of where AI is headed in the world of WordPress, experts in the field are being interviewed to provide insights into the potential impact of AI on the WordPress market.
In this interview, Chris Lema, a prominent figure in the WordPress market, shares his thoughts on how AI could interact and disrupt the WordPress market.
From the potential use of AI to generate content to the democratization of plugin development, Lema provides a 360-degree view of the current state of AI in the WordPress market and its future implications.
How artificial intelligence is being used to create ‘deepfakes’ online
As technology grows more sophisticated, so does the potential for deception. Last month, images went viral that purported to show police arresting Donald Trump and the former president in an orange prisoner’s jumpsuit — but they were fakes. Jack Stubbs, vice president of intelligence at Graphika, a research firm that studies online disinformation, joins William Brangham to discuss.
Can AI kill the greenscreen?
The greenscreen is a staple of visual effects — and it may stick around even in the age of AI “magic.” The video above explains why.
It turns out that greenscreens, while imperfect, provide certain background separation benefits that are tough for AI to replicate due to the way it’s been trained and the limitations of available data. Preparation can help improve results, but this video shows why, ultimately, AI tools will remain one in a suite of options rather than a greenscreen killer.
How Generative AI Could Replace Artists in Creative Industries | Tech News Briefing | WSJ
The threat that technology will replace workers is something more people are grappling with due to the introduction of new tools powered by generative artificial intelligence. Creative workers like artists, writers, and filmmakers are among those raising the loudest alarm. But is their concern warranted? And what impact could AI have on the future workforce?
Join us for the third episode of our series “Artificially Minded” with host Zoe Thomas.
Will AI Steal My Job? (Testing ChatGPT) || Peter Zeihan
Worried AI is going to steal your job and kick you to the curb? If you watched the video, you can probably see why I’m not worried about my job security. While AI is going to change the way we do a lot of things, it still needs some time before it’s cracking the kind of nuanced jokes I’m famous for.
Note: This video was recorded prior to the GPT-4 update
Killer Robots Coming? China’s AI Edge Over the USA
“China is Netflix and the U.S. is Blockbuster.” Insights on A.I. technology and the global future from the Director of the Bradley Center for Natural and Artificial Intelligence, Baylor University Professor Robert Marks.
The history and future of AI in 8 minutes | Oxford professor Michael Wooldridge
In his book “A Brief History of AI,” Michael Wooldridge, a professor of computer science at the University of Oxford and an AI researcher, explains that AI is not about creating life, but rather about creating machines that can perform tasks requiring intelligence.
Wooldridge discusses the two approaches to AI: symbolic AI and machine learning. Symbolic AI involves coding human knowledge into machines, while machine learning allows machines to learn from examples to perform specific tasks. Progress in AI stalled in the 1970s due to a lack of data and computational power, but recent advancements in technology have led to significant progress. AI can perform narrow tasks better than humans, but the grand dream of AI is achieving artificial general intelligence (AGI), which means creating machines with the same intellectual capabilities as humans. One challenge for AI is giving machines social skills, such as cooperation, coordination, and negotiation.
The path to conscious machines is slow and complex, and the mystery of human consciousness and self-awareness remains unsolved. The limits of computing are only bounded by imagination.